Pattern recognition and simulation in ecology

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dc.contributor.authorHan, Xiaozhuoen_ZA
dc.contributor.authorGao, Mengen_ZA
dc.contributor.authorHui, Cangen_ZA
dc.date.accessioned2016-01-28T08:54:42Z
dc.date.accessioned2021-08-26T21:30:00Z
dc.date.available2016-01-28T08:54:42Z
dc.date.available2021-08-26T21:30:00Z
dc.date.issued2015-12-01
dc.descriptionCITATION: Han, X,, Gao, M. & Hui, C. 2015. Pattern recognition and simulation in ecology. Computational Ecology and Software, 5(4):271-275.
dc.description.abstractENGLISH ABSTRACT: In ecology, the patterns usually refer to all kinds of nonrandom spatial and temporal structures of ecosystems driving by multiple ecological processes. Pattern recognition is an important step to reveal the complicated relationship between ecological patterns and processes. To review and present some advances about ecological modeling, patterns recognition, and computer simulation, an international workshop on Mathematical & Numerical Ecology with the theme “Pattern recognition and simulation in ecology” was held in in October 2014 in Guangzhou, China, and the International Society of Computational Ecology was the co-sponsor. Eight peer-reviewed papers those were originally presented at this workshop covering three themes: patterns in phylogeny, patterns in communities and ecosystems, and spatial pattern analysis are included in this special issue.en_ZA
dc.description.versionPublisher's version
dc.format.extent5 pages
dc.identifier.citationHan, X.Z., Gao, M. & Hui, C. (2015) Pattern recognition and simulation in ecology. Computational Ecology and Software, 5: 271-275.en
dc.identifier.issn2220-721Xen
dc.identifier.urihttp://hdl.handle.net/10019.1/118404
dc.language.isoenen
dc.publisherInternational Academy of Ecology and Environmental Sciencesen
dc.rights.holderAuthors retain copyright
dc.subject.lcshPattern recognition systemsen_ZA
dc.subject.lcshEcologyen_ZA
dc.subject.lcshComputer simulationen_ZA
dc.subject.lcshPhylogenyen_ZA
dc.titlePattern recognition and simulation in ecologyen_ZA
dc.typeArticleen_ZA
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